UAV-Augmented Smart Grid Mesh Network Self-Healing
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Solution Overview
Problem
Smart grid networks in urban and remote locations with limited infrastructure face challenges in communicating with transformers and IoT devices, requiring innovative solutions for data collection and transmission.
Innovation Solution
Integration of unmanned aerial vehicles (UAVs) with transformer monitoring devices that incorporate transceivers, transmitters, and antennas to form a wireless mesh network, enabling data collection and transmission using 802.11s standards, with self-healing capabilities and security protocols for secure communication across utility IDs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If wireless mesh network infrastructure is deployed in urban and remote locations with limited infrastructure, then data collection and transmission capability is improved, but device complexity and deployment difficulty increase
Solution Approach 1:
The transformer monitoring device is designed to perform multiple functions: it monitors transformer equipment status, collects metering data, and serves as a mesh network node for wireless communication. By integrating these functions into a single device, the system reduces the need for separate infrastructure components, thereby improving data collection capability while managing deployment complexity in resource-constrained environments.
2Adaptability or versatility
If geographically dispersed smart grid network hardware is augmented with UAV technology, then network coverage and accessibility are improved, but system complexity and operational challenges increase
Solution Approach 1:
UAVs serve as mobile intermediary nodes that temporarily join the mesh network to access geographically dispersed smart grid hardware in difficult-to-reach locations. The UAV acts as a flying collector that can position itself near remote transformers and meters, establishing temporary wireless connections to collect data and transmit it to the central system, thereby extending network coverage without requiring permanent infrastructure deployment.
3Reliability
If transformer monitoring devices incorporate transceiver, transmitter and antenna components, then wireless communication capability is improved, but device manufacturing complexity increases
Solution Approach 1:
The transceiver, transmitter, and antenna components are integrated into a single transformer monitoring device unit. By combining these wireless communication components with the monitoring and data collection functions in one integrated device, the system achieves reliable wireless communication capability while simplifying the manufacturing process compared to deploying separate communication and monitoring devices.
4Reliability
If self-healing capabilities are implemented in the mesh network, then network reliability is improved, but computational requirements and processing complexity increase
Solution Approach 1:
The mesh network implements self-healing capabilities where individual nodes automatically detect communication failures and dynamically reroute data through alternative paths without requiring central control or manual intervention. Each transformer monitoring device and UAV node maintains local routing information and can independently adapt to network changes, providing robust fault tolerance while keeping computational requirements distributed and manageable across the network.
Data Source
AI summary
An apparatus is provided including an unmanned aerial vehicle and a transformer monitoring device, particularly for use in a smart grid network system to support a wireless mesh network in the smart grid network and to collect metering data relating to electricity usage in the smart grid network. The transformer monitoring device is configured to receive signaling containing data from one or more network devices in a smart grid network and transmit signaling containing data to the one or more network devices in the smart grid network, and also to receive signaling containing metered usage data from at least one electric meter associated with a building receiving electricity from a transformer in the smart grid network.


